Lead AI/ML Architect for Agentic Systems

Verizon

Basking Ridge (NJ)

Hybrid

USD 121,000 - 231,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401(k) matching
Paid holidays
Paid time off
Parental leave
Tuition assistance

Job summary

Verizon is seeking an experienced leader to define the technical vision for agentic AI/ML systems within the Verizon Consumer Group. You will architect scalable pipelines, integrate with digital and customer success platforms, and lead cross-functional collaboration to deliver secure, production-grade solutions.

The role emphasizes mentoring, roadmap planning for 3–5 years, and strong communication to executives. Hybrid work arrangement with office presence required.

Qualifications

  • Bachelor's degree or four or more years of work experience.
  • Six+ years of relevant experience in AI/ML
  • Three+ years designing, building, deploying production AI/ML systems at scale
  • Experience with Agile methodologies (e.g., Scrum)

Responsibilities

  • Driving the technical strategy and application of advanced agentic AI, LLMs, and cognitive frameworks.
  • Designing scalable, production-grade AI/ML pipelines and agent architectures.
  • Collaborating with security, legal, and architecture teams to ensure privacy and compliance.
  • Mentoring engineers and establishing engineering best practices.
  • Developing a multi-year technical roadmap for agentic systems across VCG.

Skills

AI/ML system design
Python programming
Agile methodologies
API design
Cloud platforms
Docker
CI/CD pipelines
PostgreSQL/Redis
LLMs/agents

Education

Bachelor's degree
Master's degree or PhD (advantage)

Tools

LangChain
Google ADK
FastAPI
Pydantic
Elasticsearch
LiteLLM
OpenTelemetry

Job description

Verizon is seeking an experienced leader to define the technical vision for agentic AI/ML systems within the Verizon Consumer Group. You will architect scalable pipelines, integrate with digital and customer success platforms, and lead cross-functional collaboration to deliver secure, production-grade solutions.

The role emphasizes mentoring, roadmap planning for 3–5 years, and strong communication to executives. Hybrid work arrangement with office presence required.

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